Compatible with every major AI agent and IDE
Cancel active build on Vercel
Aborts an ongoing Vercel compilation pipeline
Create project on Vercel
Provide a name and framework slug. Creates a new Vercel project
Delete project on Vercel
This action is irreversible. Permanently removes a Vercel project
Get deployment details on Vercel
Retrieves details for a specific deployment execution
Get project details on Vercel
Retrieves detailed configuration for a specific project
List account domains on Vercel
Lists high-level apex domains managed by Vercel
List deployments on Vercel
Lists recent CI/CD builds for a specific project
List project aliases on Vercel
Lists specific subdomain routing mappings for a project
List projects on Vercel
Lists all Vercel projects in the account
Trigger github deployment on Vercel
Provide the project name and Git ref. Triggers a new Vercel build from a specific GitHub reference
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I cancel a stuck Vercel deployment directly from my chat window?
Yes. If a build hangs, simply find its ID via list_deployments and tell the agent: Abort the deployment execution 'dpl_9B...'. The cancelDeploymentTool intercepts and kills the remote CI task instantly.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Vercel Capabilities for AI Assistants
The Vercel MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Execute serverless Commands with AI
The Vercel MCP translates LLM intent into specific serverless actions. Agents like Cursor use this to interface securely with your loved by devs infrastructure.
Streamlining deployment
The Vercel MCP manages API routing for deployment. This enables AI agents like Claude Code to execute structured loved by devs queries.
Vercel. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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